Rush SR Lap Analyzer

Name: Rush SR Lap Analyzer
Author: Rush-Auto-Works

by Rush-Auto-Worksversion 0.2.0i★ –iRuns in the cloud

Registry namesr.rush/lap-analyzer

Install

Overview

Description from the maker (original English)

Analyze AiM RaceStudio lap data: lap times, compare laps, time loss, compare two sessions.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://laps.mcp.rush.sr/mcp

Run this in your terminal

claude mcp add --transport http lap-analyzer https://laps.mcp.rush.sr/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lap-analyzer": {
      "url": "https://laps.mcp.rush.sr/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lap-analyzer": {
      "type": "http",
      "url": "https://laps.mcp.rush.sr/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://laps.mcp.rush.sr/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain rush.sr (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32455 servers in this category
Published to the registry more recently than 53% of the other 32455 servers in this category
Basic checks equal to or better than 100% of the other 32455 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Rush SR Lap Analyzer safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 36 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, SSTracker free youth training

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Rush SR Lap Analyzer

A remote MCP server that analyzes AiM RaceStudio lap data. It works as a connector in Claude and as a plugin in ChatGPT. Built by Rush Auto Works.

https://laps.mcp.rush.sr/mcp        Streamable HTTP, no sign-in

Tools

Tool	What it does
`analyze_session`	Lap times, best lap, theoretical best, consistency, and which laps were excluded and why.
`compare_laps`	Time delta, braking points and corner minimum speeds for two laps in one session.
`find_time_loss`	The sectors where a lap loses the most time against your best lap.
`compare_sessions`	Two sessions on their best valid laps: delta, sectors gained and lost, braking points, corner minimum speeds, top speed. Use it for two drivers or two cars on the same track.

Every tool is read-only. Every result ends with one line, Built by Rush Auto Works, with a link to rushautoworks.com.

Giving it data

Send an AiM RaceStudio CSV export as csv_text, or attach the file where the client supports uploads. compare_sessions takes csv_text_a and csv_text_b (or file_a and file_b) and optional lap_a and lap_b. Files are limited to 8 MB, so a very long session may be rejected with a message naming the limit.

Excluded laps: the first lap (out-lap), the last segment (in-lap, because it ends with the data, not on a beacon crossing), and any lap more than 7% slower than the best.

AiM .xrk logs are binary and are not read directly. In Claude, install the Rush SR plugin, which converts an .xrk with libxrk and runs the same engine in the sandbox.

Try it

Two synthetic sessions, not from a real driver, are in examples/:

synthetic-session-a.csv: best lap 4 in 45.793 s, theoretical best 45.547 s, 4 valid laps.
synthetic-session-b.csv: the same track about 3% slower. compare_sessions on the pair gives a delta of -1.416 s.

What it does with your data

It analyzes the data in memory and stores nothing. It makes no calls to a language model and needs no sign-in. A file link is downloaded once, over HTTPS, with limits on size, redirects and time. Requests pass through Amazon CloudFront and Cloudflare as infrastructure providers. Workers Logs are switched off in wrangler.jsonc, and a test fails if that changes.

Support

info@rushautoworks.com, or an issue at https://github.com/Rush-Auto-Works/llm-plugins/issues.

Deploy

npx wrangler deploy

ChatGPT's plugin submission checks a token at /.well-known/openai-apps-challenge on the MCP host. The dashboard issues the token when a submission draft is started. Add it to vars in wrangler.jsonc and redeploy:

"vars": { "OPENAI_APPS_CHALLENGE": "<token from the ChatGPT plugins dashboard>" }

The route returns the token as plain text. Until the variable is set it returns 404, so nothing is served by default. Check it with curl https://laps.mcp.rush.sr/.well-known/openai-apps-challenge.

Run it locally

npm ci

npm test # boots wrangler dev and runs the E2E suite npm run dev # http://127.0.0.1:8787/mcp

MIT licensed.

Rush SR Lap Analyzer

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

SSTracker free youth training

README from the maker

Rush SR Lap Analyzer

Tools

Giving it data

Try it

What it does with your data

Support

Deploy

Run it locally